Electroencephalogram Signal Processing
Electroencephalogram Signal Processing is a subfield of biomedical signal processing that develops and applies signal acquisition, conditioning, transformation, and analysis techniques specifically to electroencephalographic (EEG) recordings in order to characterize, interpret, and utilize brain electrical activity.
16.1K
Publications
1.1M
Citations
37.5K
Authors
6.5K
Institutions
Publications per year
2017–2026
6.3K
Parents
Children
Affective State RecognitionArtifact RemovalBaseline CorrectionBrain-computer Interface Signal ProcessingCognitive Workload EstimationDeep Learning For ElectroencephalogramEffective ConnectivityElectroencephalogram AcquisitionElectroencephalogram ClassificationElectroencephalogram Compression
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University of California San Diego
San Diego, United States
87 h-index
575 publications
157.8K citations
Graz University of Technology
Graz, Austria
73 h-index
374 publications
71K citations

Centre National de la Recherche Scientifique
Paris, France
64 h-index
511 publications
64.3K citations
Harvard University
Cambridge, United States
60 h-index
551 publications
46.7K citations
Ngee Ann Polytechnic
Singapore, Singapore
59 h-index
154 publications
31.7K citations
Inserm
Paris, France
58 h-index
510 publications
52.2K citations
Massachusetts General Hospital
Boston, United States
55 h-index
493 publications
39.2K citations
Montreal Neurological Institute and Hospital
Montreal, Canada
55 h-index
327 publications
28K citations
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616 publications · 60.8K citations
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327 publications · 42.3K citations
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293 publications · 26.9K citations
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